Sebastian Schaal

Algorithmic Detection of Home Appliances from Smart Meter Data

Proof-of-concept implementation of Energy Disaggregation algorithms based on data generated from smart meters

• Broschiertes Buch

Produktbeschreibung

Reducing the overall energy waste is one of the most pressing challenges of mankind. The energy consumption of individuals can be reduced by providing them with information about the consumption of single appliances in their household. The field of Non-intrusive Appliance Load Monitoring or Energy Disaggregation detects single devices from aggregated loads. Smart meters provide an easy solution to extract momentary values of the device-aggregated energy consumption for further processing. This publication summarizes a proof-of-concept implementation from data extraction via standard smart meters to the detection of appliances of interest (AOIs). Data extraction is based on a low cost hardware with an extraction computer script. The developed disaggregation algorithms were trained with device parameters to detect three AOIs: freezer, dishwasher, and dryer. Through the generality of the concept, the algorithms could be trained to detect other appliance models or classes. Leveragingstandard interfaces, the implementation could be reproduced in different households with an installed standard smart meter.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: AV Akademikerverlag
• Seitenzahl: 60
• Erscheinungstermin: 22. August 2015
• Englisch
• Abmessung: 220mm x 150mm x 5mm
• Gewicht: 108g
• ISBN-13: 9783639858464
• ISBN-10: 3639858468
• Artikelnr.: 43664709

Autorenporträt

Sebastian Schaal holds a B.Sc. degree in Electrical Engineering & Information Technology from the Technische Universität München and completed the Honours Degree program from the Center of Digital Technology & Management. This publication was supervised by both institutions and resulted from a product development project on smart energy solutions.